Comparison of face verification results on the XM2VTFS database, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.858-863, 2000. ,
DOI : 10.1109/ICPR.2000.903052
Speaker identification and verification using Gaussian mixture speaker models, Speech Communication, vol.17, issue.1-2, pp.91-108, 1995. ,
DOI : 10.1016/0167-6393(95)00009-D
Person reidentification by minimum classification error-based kiss metric learning, IEEE transactions on cybernetics, vol.45, issue.2, pp.242-252, 2015. ,
Labeled faces in the wild: A database for studying face recognition in unconstrained environments, Tech. Rep, 2007. ,
Labeled Faces in the Wild: A Survey, 2015. ,
DOI : 10.1007/978-3-319-25958-1_8
The NIST 2010 speaker recognition evaluation, Eleventh Annual Conference of the International Speech Communication Association, 2010. ,
The NIST 2014 speaker recognition i-vector machine learning challenge, Odyssey: The Speaker and Language Recognition Workshop, 2014. ,
A survey on metric learning for feature vectors and structured data, Computing Research Repository, vol.6709, 1306. ,
SIGNATURE VERIFICATION USING A ???SIAMESE??? TIME DELAY NEURAL NETWORK, International Journal of Pattern Recognition and Artificial Intelligence, vol.07, issue.04, pp.669-688, 1993. ,
DOI : 10.1142/S0218001493000339
Triangular similarity metric learning for face verification, Proc. FG, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01158908
Discriminative Deep Metric Learning for Face Verification in the Wild, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1875-1882, 2014. ,
DOI : 10.1109/CVPR.2014.242
Cosine similarity metric learning for face verification, Proc. ACCV. 2011, pp.709-720 ,
Fast High Dimensional Vector Multiplication Face Recognition, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.246
Learning a Similarity Metric Discriminatively, with Application to Face Verification, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.539-546, 2005. ,
DOI : 10.1109/CVPR.2005.202
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.6392
Non-linear metric learning, Advances in Neural Information Processing Systems, pp.2573-2581, 2012. ,
Diffusion maps for PLDAbased speaker verification, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.7639-7643, 2013. ,
Distance metric learning with application to clustering with side-information, Advances in Neural Information Processing Systems, pp.521-528, 2003. ,
Distance metric learning for large margin nearest neighbor classification, Advances in Neural Information Processing Systems, p.1473, 2006. ,
Similarity Learning for Nearest Neighbor Classification, 2008 Eighth IEEE International Conference on Data Mining, pp.983-988, 2008. ,
DOI : 10.1109/ICDM.2008.81
URL : https://hal.archives-ouvertes.fr/hal-00953867
Large Scale Online Learning of Image Similarity through Ranking, The Journal of Machine Learning Research, vol.11, pp.1109-1135, 2010. ,
DOI : 10.1007/978-3-642-02172-5_2
Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking, IEEE transactions on cybernetics, 2016. ,
DOI : 10.1109/TCYB.2016.2591583
Efficient backprop, Neural networks: Tricks of the trade, pp.9-48, 2012. ,
An Overview and Empirical Comparison of Distance Metric Learning Methods, IEEE Transactions on Cybernetics, vol.47, issue.3, 2016. ,
DOI : 10.1109/TCYB.2016.2521767
Face recognition using eigenfaces, Proc. CVPR. IEEE, pp.586-591, 1991. ,
Face Recognition with Local Binary Patterns, Proc. ECCV, pp.469-481, 2004. ,
DOI : 10.1007/978-3-540-24670-1_36
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.6851
PCA-SIFT: A more distinctive representation for local image descriptors, Proc. CVPR. IEEE, p.506, 2004. ,
Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.36, issue.7, pp.1169-1179, 1988. ,
DOI : 10.1109/29.1644
Descriptor based methods in the wild, Workshop on Faces in'Real-Life'Images: Detection, Alignment, and Recognition, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00326729
Face Recognition using Local Quantized Patterns, Procedings of the British Machine Vision Conference 2012, 2012. ,
DOI : 10.5244/C.26.99
URL : https://hal.archives-ouvertes.fr/hal-00806104
Fisher vector faces in the wild Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification, Proc. BMVC Proc. CVPR. IEEE, pp.7-31, 2013. ,
Enhanced local gradient order features and discriminant analysis for face recognition, IEEE Transactions on Cybernetics, vol.PP, issue.99, pp.1-14, 2015. ,
Description of Interest Regions with Center-Symmetric Local Binary Patterns, Computer Vision, Graphics and Image Processing, pp.58-69, 2006. ,
DOI : 10.1007/11949619_6
Face Detection Based on Multi-Block LBP Representation, Advances in biometrics, pp.11-18, 2007. ,
DOI : 10.1007/978-3-540-74549-5_2
DeepFace: Closing the Gap to Human-Level Performance in Face Verification, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1701-1708, 2014. ,
DOI : 10.1109/CVPR.2014.220
Deep learning face representation by joint identification-verification, Advances in Neural Information Processing Systems, pp.1988-1996, 2014. ,
DOI : 10.1109/tpami.2015.2505293
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.685.3278
Return of the Devil in the Details: Delving Deep into Convolutional Nets, Proceedings of the British Machine Vision Conference 2014, 2014. ,
DOI : 10.5244/C.28.6
Deep learning, Nature, vol.521, pp.436-444, 2015. ,
Speaker Verification Using Adapted Gaussian Mixture Models, Digital Signal Processing, vol.10, issue.1-3, pp.19-41, 2000. ,
DOI : 10.1006/dspr.1999.0361
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.338
A Study of Interspeaker Variability in Speaker Verification, Audio, Speech, and Language Processing, pp.980-988, 2008. ,
DOI : 10.1109/TASL.2008.925147
Front-End Factor Analysis for Speaker Verification, Audio, Speech, and Language Processing, pp.788-798, 2011. ,
DOI : 10.1109/TASL.2010.2064307
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.6948
Analysis of ivector length normalization in speaker recognition systems, Interspeech, pp.249-252, 2011. ,
A novel scheme for speaker recognition using a phoneticallyaware deep neural network, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1695-1699, 2014. ,
Text-dependent speaker verification: Classifiers, databases and RSR2015, Speech Communication, vol.60, pp.56-77, 2014. ,
DOI : 10.1016/j.specom.2014.03.001
URL : http://doi.org/10.1016/j.specom.2014.03.001
Probabilistic linear discriminant analysis for inferences about identity, IEEE 11th International Conference on Computer Vision, pp.1-8, 2007. ,
Using Polynomial Kernel Support Vector Machines for Speaker Verification, IEEE Signal Processing Letters, vol.20, issue.9, pp.901-904, 2013. ,
DOI : 10.1109/LSP.2013.2273127
Bayesian speaker verification with heavy-tailed priors, p.14, 2010. ,
Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4832-4835, 2011. ,
DOI : 10.1109/ICASSP.2011.5947437
Full-covariance UBM and heavy-tailed PLDA in ivector speaker verification, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.4828-4831, 2011. ,
Non-linear PLDA for i-vector speaker verification, ISCA Interspeech, 2015. ,
Fast discriminative speaker verification in the i-vector space, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4852-4855, 2011. ,
DOI : 10.1109/ICASSP.2011.5947442
Large-Scale Training of Pairwise Support Vector Machines for Speaker Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.11, pp.1590-1600, 2014. ,
DOI : 10.1109/TASLP.2014.2341914
Triangular Similarity Metric Learning: a Siamese Architecture Approach, 2016. ,
URL : https://hal.archives-ouvertes.fr/tel-01314392
PCCA: A new approach for distance learning from sparse pairwise constraints, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2666-2672, 2012. ,
DOI : 10.1109/CVPR.2012.6247987
URL : https://hal.archives-ouvertes.fr/hal-00806007
Learning internal representations by error propagation, Tech. Rep., DTIC Document, 1985. ,
On the limited memory BFGS method for large scale optimization, Mathematical programming, pp.503-528, 1989. ,
DOI : 10.1007/BF01589116
Early Stopping ??? But When?, Neural Networks: Tricks of the Trade, pp.53-67, 2012. ,
DOI : 10.1109/72.248452
Similarity Metric Learning for Face Recognition, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.299
Understanding the difficulty of training deep feedforward neural networks, International conference on artificial intelligence and statistics, pp.249-256, 2010. ,
Consistent nonparametric regression The annals of statistics, pp.595-620, 1977. ,
Dropout: A simple way to prevent neural networks from overfitting, The Journal of Machine Learning Research, vol.15, issue.1, pp.1929-1958, 2014. ,
Logistic similarity metric learning for face verification, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. ,
DOI : 10.1109/ICASSP.2015.7178311
URL : https://hal.archives-ouvertes.fr/hal-01158949
Deep transfer metric learning, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.325-333, 2015. ,
DOI : 10.1109/tip.2016.2612827
Labeled faces in the wild: Updates and new reporting procedures ,
Efficient processing of MRFs for unconstrained-pose face recognition, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp.1-8, 2013. ,
DOI : 10.1109/BTAS.2013.6712721
Class-specific kernel fusion of multiple descriptors for face verification using multiscale binarised statistical image features Information Forensics and Security, IEEE Transactions on, vol.9, issue.12, pp.2100-2109, 2014. ,
How far can you get with a modern face recognition test set using only simple features?, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.2591-2598, 2009. ,
DOI : 10.1109/CVPR.2009.5206605
Probabilistic Elastic Matching for Pose Variant Face Verification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3499-3506, 2013. ,
DOI : 10.1109/CVPR.2013.449
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.383.2684
Eigen-PEP for Video Face Recognition, Computer Vision?ACCV 2014, pp.17-33, 2015. ,
DOI : 10.1007/978-3-319-16811-1_2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.6062
Hierarchical-PEP model for real-world face recognition, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4055-4064 ,
DOI : 10.1109/CVPR.2015.7299032
A lightened CNN for deep face representation, 2015. ,
FaceNet: A unified embedding for face recognition and clustering, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.815-823, 2015. ,
DOI : 10.1109/CVPR.2015.7298682
URL : http://arxiv.org/abs/1503.03832
Deep face recognition, British Machine Vision Conference, p.6, 2015. ,
Learning face representation from scratch, 2014. ,